Human emotion recognition using heart rate variability analysis with spectral bands based on respiration
Human emotion recognition using heart rate variability analysis with spectral bands based on respiration
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DOI：
10.1109/embc.2015.7319792
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发表时间：
2015-11
期刊：
影响因子：
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通讯作者：
M. Valderas;J. Bolea;P. Laguna;M. Vallverdú;R. Bailón
中科院分区：
文献类型：
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作者：
M. Valderas;J. Bolea;P. Laguna;M. Vallverdú;R. Bailón
本文提出的工作旨在通过分析基于呼吸频率（RF）的不同频谱带的心率变异性（HRV）来评估人类情感识别。比较了三种特定的情绪状态，分别对应于平静中性状态（放松）、积极诱导（喜悦）和消极诱导（恐惧）。执行时域和频域中的标准 HRV 分析。为了更好地表征与呼吸性窦性心律失常相关的 HRV 分量，高频 (HF) 频带以 RF 为中心。结果表明，低频段的功率含量（PLF）、高频频段的归一化功率含量（PHFn）和交感迷走神经比率（LF/HF）可以作为区分Relax和Joy的合适指标。放松和恐惧之间的平均心率和 RF 存在显着差异。不同的HRV指数显示喜悦和恐惧之间存在显着差异，例如pNN50、PLF、PHFn和LF/HF。对以 RF 为中心的 HF 的 HRV 指数进行统计分析，得出的 p 值低于 HF 标准带的 HRV 指数。
The work presented in this paper aims at assessing human emotion recognition by means of the analysis of the heart rate variability (HRV) with varying spectral bands based on respiratory frequency (RF). Three specific emotional states are compared corresponding to calm-neutral state (Relax), positive elicitation (Joy) and negative elicitation (Fear). Standard HRV analysis in time and frequency domain is performed. In order to better characterize the HRV component related to respiratory sinus arrhythmia, the high frequency (HF) band is centered on RF. Results reveal that the power content in low band (PLF), the normalized power content in HF band (PHFn) and the sympathovagal ratio (LF/HF) can be suitable indices to distinguish Relax and Joy. Mean heart rate and RF are significantly different between Relax and Fear. Different HRV indices show significant differences between Joy and Fear, such as pNN50, PLF, PHFn and LF/HF. Statistical analysis of HRV indices with HF centered in the RF results in a lower p-value than the ones with a HF standard band.